Senior Analytics Engineer

3 days ago

Sydney, New South Wales, Australia Ingrity Full time $120,000 - $180,000 per year

Senior Data & Analytics Engineer – Python | Sydney | Contract
Location:
Sydney, Australia

Employment Type:
Contract

About INGRITY
At INGRITY, we're a Microsoft Data & AI Solution Partner passionate about building transformative data solutions. We work with leading ASX-listed enterprises and dynamic medium-sized businesses to deliver impactful outcomes through innovative data engineering and AI-driven analytics. Our success is grounded in customer-centric delivery, technical excellence, and a deep collaboration with Microsoft.

About The Role
We're on the lookout for a Senior Analytics Engineer with strong hands-on analytics expertise, coupled with deep experience in data pipeline engineering using Python. . This hybrid role is central to our evolution toward modern data platforms that leverage Python, cloud-native tools, and AI/ML frameworks.

You'll lead and contribute to the design and implementation of high-performing data pipelines and analytical workflows that support strategic initiatives, automation, and real-time decision-making.

Key Responsibilities:

  • Build and manage scalable Python-based data pipelines supporting multi-agent AI and advanced analytics use cases
  • Design, develop, and automate data ingestion, transformation, and delivery processes
  • Collaborate with analysts and data scientists to prepare high-quality datasets for AI/ML models and BI tools
  • Support the migration of Alteryx workflows to Python, with strategic input and hands-on execution
  • Optimize existing pipelines for performance, reusability, and operational stability
  • Create detailed technical documentation and design artefacts for analytics architecture
  • Operate and maintain production-grade data pipelines and orchestration systems
  • Partner with cross-functional teams to align data engineering with analytics, reporting, and business goals

Required Skills & Experience:

  • 5+ years of experience in Python-based data engineering, with a strong portfolio of building robust data workflows
  • Deep expertise in Python data libraries.
  • Proven track record of building ETL/ELT pipelines, including API integrations
  • Strong background in preparing datasets for AI/ML models and analytical platforms
  • Experience with cloud data platforms (e.g., AWS S3, Redshift, Snowflake, BigQuery)
  • Solid understanding of data modeling, data orchestration tools (e.g., Airflow, Prefect)
  • Strong communication skills and ability to work in collaborative, fast-paced teams

Nice to Have

  • Experience working with Alteryx workflows and their migration to Python
  • Exposure to BI tools like ThoughtSpot

Other Details

  • Location: Sydney, Australia
  • Working Rights: Applicants must have full Australian working rights
  • Contract role with potential for extension based on performance and project needs

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